{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show=true; \n",
       "function code_toggle() {\n",
       " if (code_show){\n",
       " $('div.input').hide();\n",
       " } else {\n",
       " $('div.input').show();\n",
       " }\n",
       " code_show = !code_show\n",
       "} \n",
       "$( document ).ready(code_toggle);\n",
       "</script>\n",
       "The raw code for this IPython notebook is by default hidden for easier reading.\n",
       "To toggle on/off the raw code, click <a href=\"javascript:code_toggle()\">here</a>."
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "from toggle_input import toggle_input\n",
    "HTML(toggle_input)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "rcParams['font.size'] = 14"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# End-to-end Processing Example\n",
    "\n",
    "The following is an example of how to put all of the pieces of RiverObs together to process a reach for SWOT simulated data. The data used are the output of the SWOT hydrology simulator, but should not necessarily be considered as being fully representative of the SWOT performance. This is just a tutorial example that show how all of the components of RiverObs can be put together to produce kml and shapefile outputs.\n",
    "\n",
    "This example also shows how the RiverObs objects can be interrogated to produce diagnostic plots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/erodrigu/anaconda/envs/RiverObs/lib/python3.6/site-packages/statsmodels/compat/pandas.py:56: FutureWarning: The pandas.core.datetools module is deprecated and will be removed in a future version. Please use the pandas.tseries module instead.\n",
      "  from pandas.core import datetools\n"
     ]
    }
   ],
   "source": [
    "from os.path import join\n",
    "from SWOTRiver import SWOTRiverEstimator\n",
    "from RiverObs import RiverReachWriter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Input Cells\n",
    "\n",
    "The following cells are the only ones that one should have to modify for each run.\n",
    "\n",
    "### The first cell has the data location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# These are the locations of the reach data and the width data base (if desired)\n",
    "\n",
    "# This is the width database (if desired)\n",
    "\n",
    "width_db_file = None #'../../../RiverObsTestData/GRWDL/nAmerica_GRWDL.h5' \n",
    "\n",
    "# This is the path to the reach files (not including the .shp suffix)\n",
    "\n",
    "shape_file_root = '../../../RiverObsTestData/River_Prior_Database/ADT_priordatabase_reaches_polylines/NA_reaches_data_discharge_depth_chn_grdc_revised_GCS'\n",
    "\n",
    "# This is the location of the simulated water file\n",
    "\n",
    "l2_file = '../../../RiverObsTestData/L2/L2v1/swot_heights_ohio_example_v1.Multilook_L2PIXC.nc'\n",
    "\n",
    "# This is the location of the output data\n",
    "\n",
    "fout_reach = './ohioTest/swot_heights_ohio_example_v1_L2PIXC.NLoc.CClass_reach' \n",
    "fout_node = './ohioTest/swot_heights_ohio_example_v1_L2PIXC.NLoc.CClass_node' \n",
    "fout_index = './ohioTest/swot_heights_ohio_cycle_example_v1_L2PIXC.NLoc.CClass_index.nc'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The second cell has processing options"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# The bounding box tells what region is of interest. \n",
    "# It is sometimes required because the simulator sometimes has anomalous\n",
    "# latitudes and longitudes. If this is not the case, it can be set to None.\n",
    "# It does not have to be very accurate, just good enough to exclude location anomalies.\n",
    "# It will be updated to the true bounding box by the program.\n",
    "\n",
    "lonmin =  -83 \n",
    "latmin =  38\n",
    "lonmax =  -82\n",
    "latmax =  39\n",
    "bounding_box = lonmin,latmin,lonmax,latmax\n",
    "\n",
    "# The second set of inputs have to do with what data are extracted from the\n",
    "# water file.\n",
    "\n",
    "# 'medium' or 'welldone' indicate different levels of averaging in the lines below.\n",
    "# either 'latitude_medium' or 'latitude_welldone' for height files, or 'latitude' for GDEM.\n",
    "lat_kwd = 'latitude_medium' \n",
    "# either 'longitude_medium' or 'longitude_welldone' for height files, or 'longitude' for GDEM.\n",
    "lon_kwd = 'longitude_medium' \n",
    "# either 'classification' (estimated classification) or 'landtype' for GDEM truth\n",
    "class_kwd = 'classification'\n",
    "# either 'height_medium' or 'height_welldone' (estimated height) or 'elevation' (GDEM)\n",
    "height_kwd = 'height_medium'\n",
    "\n",
    "# The third set of inputs have to do with how to use the classification\n",
    "# to estimate river width\n",
    "\n",
    "# The list of classes to consider for potential inundation.\n",
    "# The truth classes are [1], if no_layover_classification' is used.\n",
    "# If estimated classification is used, the choice depends on whether\n",
    "# use_fractional_inundation is set.\n",
    "# If it is not set, either [3,4] or [4] should be used.\n",
    "# If it is set, [2,3,4,5] or [3,4,5] should be used.\n",
    "class_list = [2,3,4,5]\n",
    "\n",
    "# If the L2 water file has been updated to contain the fractional\n",
    "# inundation, this is the name of the variable. If it has not been\n",
    "# updated or you do not wish to use it, set this to None\n",
    "fractional_inundation_kwd = 'continuous_classification'\n",
    "\n",
    "# This corresponds to the clases set above. \n",
    "# If True, use fractional inundation estimate to get the inundated area for this class.\n",
    "# If False, assume that this class is fully flooded.\n",
    "use_fractional_inundation=[True, True, False, False]\n",
    "\n",
    "# This corresponds to the clases set above.\n",
    "# if true, assume this class if water for feature segmentation purposes\n",
    "use_segmentation=[False, True, True, True]\n",
    "\n",
    "# This corresponds to the clases set above.\n",
    "# if true, assume this class is good for estimating heights\n",
    "use_heights=[False, False, True, False]\n",
    "\n",
    "# This is the minimum number of measurements that the data set must have.\n",
    "min_points=100\n",
    "\n",
    "# The fourth set of inputs have to do with the reaches and width data base.\n",
    "\n",
    "# The clip_buffer is a buffer (in degrees) that is drawn around the data\n",
    "# bounding box so that the full reach is included and is not broken if\n",
    "# the river. 0.01 ~ 1km\n",
    "clip_buffer=0.02\n",
    "                     \n",
    "# The fifth set of options has to do with how the data are sampled and \n",
    "# quantities are estimated\n",
    "\n",
    "# This option is only possible if you have an a priori estimate\n",
    "# of width for each width point. It will load that width into\n",
    "# the centerline for comparison with the estimated data.\n",
    "use_width_db =  False #True\n",
    "\n",
    "# This option determines the separation between centerline nodes.\n",
    "# If set to None, the the spacing in the input reach is used.\n",
    "# The units are meters. The default is to use the input reach spacing.\n",
    "ds = 300.\n",
    "\n",
    "# The next set of options are required if one desires to refine \n",
    "# the centerline if it does not align well with the data.\n",
    "# If you do not know what these are, don't change them.\n",
    "refine_centerline=False # Set to True if you want to refine the centerline.\n",
    "smooth=1.e-2\n",
    "alpha=1.\n",
    "max_iter=1\n",
    "# This is how far from the centerline points are accepted\n",
    "scalar_max_width=600.\n",
    "\n",
    "# This variable states how many valid data points are required before\n",
    "# a node can be consired to have a sufficient number of observations.\n",
    "minobs = 10\n",
    "\n",
    "# Set this if there seem to be issues with the first/last nodes.\n",
    "# This can happen sometimes in the near range.\n",
    "trim_ends = True\n",
    "\n",
    "# These are the fitting algorithms desired for mean height and slope estimation.\n",
    "# More than one type of fit can be requested.\n",
    "# 'OLS': ordinary least square\n",
    "# 'WLS': weighted least squares\n",
    "# 'RLM': Robust Linear Model\n",
    "fit_types=['OLS','WLS','RLM']\n",
    "\n",
    "# These are the minimum number of points required for a slope fit\n",
    "min_fit_points = 3\n",
    "\n",
    "# These are options useful for interctively playing with the data, but need not\n",
    "# be set for batch processing.\n",
    "verbose = False # Output progress to stdout\n",
    "store_obs=True  # Keep the river observations for inspection\n",
    "store_reaches=True # Keep the river reaches for inspection\n",
    "store_fits=True # Keep the fit results for inspection\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Run the code\n",
    "\n",
    "The following cells contain the same code as the command line program. \n",
    "It is run interactively to allow different run choices to be run interactively."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "got pixel area from l2 file\n",
      "DOMINANT LABEL in reach: 1\n",
      "num nodes in reach 4\n",
      "numNodes,k: 4 3\n",
      "DOMINANT LABEL in reach: 1\n",
      "num nodes in reach 13\n",
      "numNodes,k: 13 3\n",
      "DOMINANT LABEL in reach: 2\n",
      "num nodes in reach 34\n",
      "numNodes,k: 34 3\n",
      "DOMINANT LABEL in reach: 2\n",
      "num nodes in reach 34\n",
      "numNodes,k: 34 3\n",
      "DOMINANT LABEL in reach: 1\n",
      "num nodes in reach 34\n",
      "numNodes,k: 34 3\n",
      "DOMINANT LABEL in reach: 2\n",
      "num nodes in reach 34\n",
      "numNodes,k: 34 3\n",
      "DOMINANT LABEL in reach: 1\n",
      "num nodes in reach 10\n",
      "numNodes,k: 10 3\n",
      "DOMINANT LABEL in reach: 2\n",
      "num nodes in reach 14\n",
      "numNodes,k: 14 3\n"
     ]
    }
   ],
   "source": [
    "# Read the data and estimate the flooded area.\n",
    "\n",
    "river_estimator = SWOTRiverEstimator(l2_file,\n",
    "                                     bounding_box=bounding_box,\n",
    "                                     lat_kwd=lat_kwd, \n",
    "                                     lon_kwd=lon_kwd,\n",
    "                                     class_kwd=class_kwd,\n",
    "                                     height_kwd=height_kwd,\n",
    "                                     class_list=class_list,\n",
    "                                     fractional_inundation_kwd=fractional_inundation_kwd,\n",
    "                                     use_fractional_inundation=use_fractional_inundation,\n",
    "                                     min_points=min_points,\n",
    "                                     verbose=verbose,store_obs=store_obs,\n",
    "                                     store_reaches=store_reaches,\n",
    "                                     store_fits=store_fits)\n",
    "\n",
    "# Load the reaches and width data base\n",
    "\n",
    "river_estimator.get_reaches(shape_file_root, clip_buffer=0.1)\n",
    "if width_db_file is not None:\n",
    "    river_estimator.get_width_db(width_db_file)\n",
    "\n",
    "# Process all of the reaches\n",
    "\n",
    "river_reach_collection = river_estimator.process_reaches(scalar_max_width=scalar_max_width,\n",
    "                minobs=minobs,min_fit_points=min_fit_points,\n",
    "                fit_types=fit_types,\n",
    "                use_width_db = use_width_db,\n",
    "                ds=ds,\n",
    "                refine_centerline=refine_centerline,\n",
    "                smooth=smooth,alpha=alpha,max_iter=max_iter)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize the output writer\n",
    "#print river_reach_collection\n",
    "reach_output_variables = list(river_reach_collection[0].metadata.keys())\n",
    "# Brent williams May 2017: added extra fields\n",
    "node_output_variables = ['lat','lon','x','y','nobs','s',\n",
    "                             'w_ptp','w_std','w_area','w_db','area',\n",
    "                             'h_n_ave','h_n_std','h_a_ave','h_a_std',\n",
    "                             'nobs_h','x_prior','y_prior','node_indx','reach_indx']\n",
    "\n",
    "writer = RiverReachWriter(river_reach_collection,\n",
    "                      node_output_variables,\n",
    "                      reach_output_variables)\n",
    "\n",
    "# Write shapefiles\n",
    "\n",
    "driver = 'ESRI Shapefile'\n",
    "writer.write_nodes_ogr(fout_node,driver=driver)\n",
    "writer.write_reaches_ogr(fout_reach,driver=driver)\n",
    "\n",
    "# Write KML files\n",
    "\n",
    "driver = 'KML'\n",
    "writer.write_nodes_ogr(fout_node+'.kml',driver=driver)\n",
    "writer.write_reaches_ogr(fout_reach+'.kml',driver=driver)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot results for one reach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This cell extracts from the results all of the appropriate data to plot\n",
    "\n",
    "# This is the each index to use\n",
    "\n",
    "reach_id = 10\n",
    "reach_idx = river_estimator.reaches.reach_idx[reach_id]\n",
    "\n",
    "# Extract the reach to visualize\n",
    "\n",
    "reach = river_estimator.reaches[reach_id]\n",
    "reach_idx = reach.reach_index\n",
    "river_reach = river_estimator.river_reach_collection[reach_id]\n",
    "river_obs = river_estimator.river_obs_collection[reach_idx]\n",
    "\n",
    "# Extract the fit results\n",
    "\n",
    "nresults = river_estimator.fit_collection[reach_id,'noise']\n",
    "\n",
    "# Extract the data by class and inside the reach\n",
    "lonmin = reach.lon.min()\n",
    "lonmax = reach.lon.max()\n",
    "latmin = reach.lat.min()\n",
    "latmax = reach.lat.max()\n",
    "index = ((river_estimator.lat >= latmin-0.01) &\n",
    "         (river_estimator.lon >= lonmin-0.01) &\n",
    "         (river_estimator.lat <= latmax+0.01) &\n",
    "         (river_estimator.lon <= lonmax+0.01) \n",
    "         )\n",
    "X = {}\n",
    "Y = {}\n",
    "c = {2:'brown',3:'aqua',4:'blue'}\n",
    "name = {2:'land-edge',3:'water-edge',4:'water'}\n",
    "for k in river_estimator.class_list:\n",
    "    kindex = river_estimator.klass[index] == k\n",
    "    X[k] = river_estimator.x[index][kindex]/1.e3\n",
    "    Y[k] = river_estimator.y[index][kindex]/1.e3\n",
    "\n",
    "s = river_reach.s\n",
    "x = s - s.mean()\n",
    "\n",
    "# Noise fits WLS\n",
    "\n",
    "wls_n_h_mean = nresults['WLS'].params[1]\n",
    "wls_n_slp = nresults['WLS'].params[0]\n",
    "n_hfit_wls = wls_n_slp*x + wls_n_h_mean \n",
    "h_n = river_reach.h_n_ave\n",
    "h_n_std = river_reach.h_n_std\n",
    "\n",
    "# Noise fits OLS\n",
    "\n",
    "ols_n_h_mean = nresults['OLS'].params[1]\n",
    "ols_n_slp = nresults['OLS'].params[0]\n",
    "n_hfit_ols = ols_n_slp*x + ols_n_h_mean "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot input data for the resired reach"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ivjnErjVtNFQuoMp/B2GbFatL57FaD1dpz2HZvZlAczOx3l6SJkxAS0nhrcJCYh4Pn500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TrqnnvuyYqPj4/cc889jQ888EBtSUmJtaWlxfjiiy+WAiQlJUXcbrdh3rx5IydPntyxfPnyElVV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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1069330f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the reach (in projected Cartesian coordinates)\n",
    "\n",
    "figsize(6,6)\n",
    "plot(reach.x/1.e3,reach.y/1.e3,'.k',linewidth=2,label='centerline')\n",
    "for k in river_estimator.class_list:\n",
    "    try:\n",
    "        scatter(X[k],Y[k],c=c[k],s=10,alpha=0.5,label=name[k],edgecolor='none')\n",
    "    except:\n",
    "        pass\n",
    "xlabel('X (km)')\n",
    "ylabel('Y (km)')\n",
    "xmin = reach.x.min()/1.e3\n",
    "xmax = reach.x.max()/1.e3\n",
    "ymin = reach.y.min()/1.e3\n",
    "ymax = reach.y.max()/1.e3\n",
    "xlim(xmin-0.5,xmax+0.5)\n",
    "ylim(ymin-0.5,ymax+0.5)\n",
    "legend(loc=(1.01,0.55))\n",
    "title('Reach ID: %d'%reach_id);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Figure**: Input *a priori* reach (black line) with estimated classification: Open water (blue); water edge (aqua); land edge (brown). "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the centerline and the mean node coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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wzDOwapUSTwcOqHT1iy9+X8OfU5QCdwKr+w1sb0lc7jh5djv/l5ZGsKWF2c3N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\n5qdVyYt7AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11ecc1390>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the reach (in projected Cartesian coordinates)\n",
    "\n",
    "centerline = river_obs.centerline\n",
    "\n",
    "figsize(6,6)\n",
    "plot(centerline.x/1.e3,centerline.y/1.e3,'-ok',linewidth=2,label='centerline')\n",
    "plot(river_reach.x/1.e3,river_reach.y/1.e3,'sr',linewidth=2,label='mean node location')\n",
    "for k in river_estimator.class_list:\n",
    "    try:\n",
    "        scatter(X[k],Y[k],c=c[k],s=10,alpha=0.5,label=name[k],edgecolor='none')\n",
    "    except:\n",
    "        pass\n",
    "xlabel('X (km)')\n",
    "ylabel('Y (km)')\n",
    "xmin = reach.x.min()/1.e3\n",
    "xmax = reach.x.max()/1.e3\n",
    "ymin = reach.y.min()/1.e3\n",
    "ymax = reach.y.max()/1.e3\n",
    "xlim(xmin-0.5,xmax+0.5)\n",
    "ylim(ymin-0.5,ymax+0.5)\n",
    "legend(loc=(1.01,0.55))\n",
    "title('Reach ID: %d'%reach_id);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compare the width estimates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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0/rGouDEwHwXqRqq6y/u1iNwA/AVM9RTdBUxW1Vc8r4eJyAXAUGCUZxPJG4Dr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qlczjk9gy0JOOf45S9/ybRp0zSKt1SqKgXMZVE4Py3V44YbbmD79u0sWbKEM844I+hwJBqeBXYG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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x121c675c0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "w = river_reach.w_db\n",
    "width_std = river_reach.w_std\n",
    "width_ptp = river_reach.w_ptp\n",
    "width_area = river_reach.w_area\n",
    "figsize(8,8)\n",
    "subplot(2,2,1)\n",
    "plot(river_reach.s/1.e3,river_reach.w_db,'o',label='dbase')\n",
    "plot(river_reach.s/1.e3,river_reach.w_area,'o',label='area')\n",
    "plot(river_reach.s/1.e3,river_reach.w_ptp,'s',label='ptp')\n",
    "plot(river_reach.s/1.e3,river_reach.w_std,'>',label='std')\n",
    "xlabel('Reach (km)')\n",
    "ylabel('Estimated width (m)')\n",
    "legend(loc='best')\n",
    "subplot(2,2,2)\n",
    "plot(w,width_area,'o')\n",
    "plot([w.min()-100,w.max()+100],[w.min()-100,w.max()+100],'--k')\n",
    "xlim(w.min()-100,w.max()+100)\n",
    "ylim(w.min()-100,w.max()+100)\n",
    "plot([w.min()-100,w.max()+100],[w.min()-100,w.max()+100],'--k')\n",
    "xlabel('Database width')\n",
    "ylabel('Area width')\n",
    "subplot(2,2,3)\n",
    "plot(w,width_ptp,'o')\n",
    "plot([w.min()-100,w.max()+100],[w.min()-100,w.max()+100],'--k')\n",
    "xlim(w.min()-100,w.max()+100)\n",
    "ylim(w.min()-100,w.max()+100)\n",
    "xlabel('Database width')\n",
    "ylabel('PTP width')\n",
    "subplot(2,2,4)\n",
    "plot(w,width_std,'o')\n",
    "plot([w.min()-100,w.max()+100],[w.min()-100,w.max()+100],'--k')\n",
    "xlim(w.min()-100,w.max()+100)\n",
    "ylim(w.min()-100,w.max()+100)\n",
    "xlabel('Database width')\n",
    "ylabel('STD width')\n",
    "tight_layout();"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the fit results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x11eced2e8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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d+1BCf7eYswVq1ka0+qrIIFNNGdawzyT2mjSW/bffmgfOPYqG4z5K47H7Zl7W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\niEiCqHEnIiIikiBq3ImIiIgkyP8H7xK2vK3m2UUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11f7bf4e0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ymin = h_n.min() - 2\n",
    "ymax = h_n.max() + 2\n",
    "figsize(10,10)\n",
    "subplot(2,2,1)\n",
    "errorbar(s/1.e3,h_n,yerr=h_n_std,fmt='o')\n",
    "plot(s/1.e3,n_hfit_ols,linewidth=2)\n",
    "ylim(ymin,ymax)\n",
    "title('Noise h: %.2f m slope: %.2f cm/km'%(ols_n_h_mean,ols_n_slp*1.e5),fontsize=14)\n",
    "xlabel('Reach (km)')\n",
    "ylabel('Height (m)')\n",
    "\n",
    "subplot(2,2,2)\n",
    "errorbar(s/1.e3,h_n,yerr=h_n_std,fmt='o')\n",
    "plot(s/1.e3,n_hfit_wls,linewidth=2)\n",
    "ylim(ymin,ymax)\n",
    "title('Noise h: %.2f m slope: %.2f cm/km'%(wls_n_h_mean,wls_n_slp*1.e5),fontsize=14)\n",
    "xlabel('Reach (km)')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
